AI automation built for finance teams.
Where finance teams lose time and opportunity, and what a connected system does about it.
Extract data from invoices, statements, and contracts, route approvals, chase outstanding receivables, and assemble the recurring reporting pack with a clear audit trail.
Finance teams customer journey
See how a connected system can respond, qualify, route, follow up, and report across the complete customer journey.
Why finance teams need a connected AI system
Month-end is the same work every month: pulling numbers out of documents, chasing approvals, reconciling exceptions, and rebuilding the same report. The judgment is valuable. The keying is not.
What Wavefront can build for finance teams
- AI Business Operating System: The complete customer journey, connected.
- AI Marketing Intelligence: Know what worked, what did not, and what to do next.
- AI Front Desk: Your business stays responsive, even when your team is not available.
- AI Ad Creative Testing & Optimization: Test more useful ad ideas and learn which message earns attention before budget is wasted.
- AI Media Buying & Budget Allocation: Move paid-media budget toward the campaigns producing qualified opportunities, not just cheap clicks.
- AI Social Media Management & Scheduling: Plan, approve, schedule, and review social content from one operating rhythm.
- AI Video Clipping & Repurposing: Turn long videos into useful short clips, captions, posts, and follow-up content.
- AI Reputation Monitoring: See emerging customer themes across reviews, social mentions, and feedback before they become larger problems.
- AI Market & Competitor Research: Turn scattered competitor activity into a focused view of offers, messaging, content, and market movement.
- AI Data Analysis & Reporting Dashboards: Connect the numbers and explain what changed, why it matters, and what to inspect next.
- AI Document Processing & Data Extraction: Move useful information out of forms, PDFs, invoices, and records without retyping every field.
- AI Knowledge Base & Internal Assistants: Help staff find the right policy, product, process, or answer without searching through folders and chat threads.
- AI Workflow Automation & Process Mapping: Map how work moves today, find the handoffs that fail, and automate the smallest useful sequence first.
- AI Agent Development (Custom Business Agents): Build a purpose-specific AI agent around a defined business job, toolset, and approval boundary.
- AI Integration & API Development: Connect AI features to the systems where customer and operational work already happens.
How the customer journey can work
- Document received
- Type classified
- Data extracted
- Coding and cost centre suggested
- Exception flagged for review
- Approval routed
- Approved entry posted
- Receivable aged
- Payment reminder sent
- Reconciliation exceptions listed
- Reporting pack assembled
- Commentary drafted for review
- Controller sign-off
What the system collects from a finance team enquiry
- Document type and source system
- Entity, period, and currency
- Chart of accounts and coding rules
- Approval thresholds and owners
- Exception tolerances
- Reporting deadlines and recipients
Illustrative workflow example
What a connected finance teams workflow could look like
Problem: Month-end is the same work every month: pulling numbers out of documents, chasing approvals, reconciling exceptions, and rebuilding the same report. The judgment is valuable. The keying is not.
System: Extract data from invoices, statements, and contracts, route approvals, chase outstanding receivables, and assemble the recurring reporting pack with a clear audit trail.
Modeled result: Expected impact: a faster first response, a more complete handoff, and consistent follow-up. This example shows how the system could work and is not a reported client result.
Operating guardrail: The system prepares, extracts, and routes. It does not approve payments, sign off on reconciliations, make accounting judgments, or file returns. Every posted entry and every external report passes a named human reviewer, and access follows existing segregation-of-duties rules.
Frequently asked questions
- What can AI handle for finance teams?
- Extract data from invoices, statements, and contracts, route approvals, chase outstanding receivables, and assemble the recurring reporting pack with a clear audit trail.
- What information does the system collect?
- The workflow can collect Document type and source system, Entity, period, and currency, Chart of accounts and coding rules, Approval thresholds and owners, then organize that context for the person or system responsible for the next step.
- Do we need to replace our current software?
- Usually not. Wavefront first identifies which website, inbox, CRM, calendar, quoting, and reporting tools should stay, then connects or replaces only what the approved workflow requires.
- What stays under human control?
- The system prepares, extracts, and routes. It does not approve payments, sign off on reconciliations, make accounting judgments, or file returns. Every posted entry and every external report passes a named human reviewer, and access follows existing segregation-of-duties rules.
- Can we start with one workflow?
- Yes. The first release is intentionally narrow: one useful handoff, clear owners, agreed escalation rules, and a measurable outcome. Additional stages are connected only after the first workflow is working.
- What happens when the AI is unsure?
- Uncertain, unusual, sensitive, or high-impact cases follow defined escalation rules and are routed to the right person with the available context.